Saturday, 17 March 2012

Interactive Graphics for Data Analysis

Interactive Graphics for Data Analysis
Author: Martin Theus
Edition: 1
Binding: Kindle Edition
ISBN: B008CGQ7IS



Interactive Graphics for Data Analysis: Principles and Examples (Chapman & Hall/CRC Computer Science & Data Analysis)


Interactive Graphics for Data Analysis: Principles and Examples discusses exploratory data analysis (EDA) and how interactive graphical methods can help gain insights as well as generate new questions and hypotheses from datasets. Download Interactive Graphics for Data Analysis: Principles and Examples (Chapman & Hall/CRC Computer Science & Data Analysis) from rapidshare, mediafire, 4shared. Fundamentals of Interactive Statistical Graphics The first part of the book summarizes principles and methodology, demonstrating how the different graphical representations of variables of a dataset are effectively used in an interactive setting. The authors introduce the most important plots and their interactive controls. They also examine various types of data, relations between variables, and plot ensembles. Case Studies Illustrate the Principles The second section focuses on nine case studies. Each case study Search and find a lot of computer books in many category availabe for free download.

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Interactive Graphics for Data Analysis Free


Interactive Graphics for Data Analysis computer books for free. Fundamentals of Interactive Statistical Graphics The first part of the book summarizes principles and methodology, demonstrating how the different graphical representations of variables of a dataset are effectively used in an interactive setting. The authors introduce the most important plots and their interactive controls. They also examine various types of data, relations between variables, and plot ensembles. Case Studies Illustrate the Principles The second section focuses on nine case studies undamentals of Interactive Statistical Graphics The first part of the book summarizes principles and methodology, demonstrating how the different graphical representations of variables of a dataset are effectively used in an interactive setting. The authors introduce the most important plots and their interactive controls. They also examine various types of data, relations between variables, and plot ensembles. Case Studies Illustrate the Principles The second section focuses on nine case studies. Each case study

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